• M.Nikhitha
• M.A.Jabbar

Network security has become more prominent with the advancement of the internet over years and the number of attacks also increased. Ongoing mitigation against various attacks remains unable to provide complete protection. A powerful detection system is required to ensure security of the network. Intrusion detection system (IDS) is active systems, which supervises and examine the network traffic to identify any deviations from network traffic. Various Machine Learning techniques are used to build an effective Intrusion Detection System. This paper gives a comprehensive review on Intrusion Detection System and discusses about various approaches to detect the attacks and their working procedures.

Intrusion detection system, Attack, Security, Anomaly, Effective, processing.

"A Systematic Literature Review on Intrusion Detection System using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.681-685, June 2019, Available :http://www.jetir.org/papers/JETIR1907F93.pdf

"A Systematic Literature Review on Intrusion Detection System using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp681-685, June 2019, Available at : http://www.jetir.org/papers/JETIR1907F93.pdf